Table 4.
The efficacy of PCL-R as a predictor of violent reconvictions among MAOA genotyped violent offenders.
| B (s.e.) | W | P | OR | 95% CI | R2 | ||
|---|---|---|---|---|---|---|---|
| PCL-R | Non-adjusted | 0.064 (0.02) | 7.9 | 0.005 | 1.066 | 1.01–1.12 | 0.066 |
| Adjusted | 0.050 (0.03) | 4.0 | 0.045 | 1.051 | 1.00–1.11 | 0.122 | |
| MAOA-H | Non-adjusted | 0.080 (0.03) | 10.4 | 0.001 | 1.083 | 1.03–1.14 | 0.096 |
| Adjusted | 0.068 (0.03) | 5.9 | 0.015 | 1.070 | 1.01–1.13 | 0.141 | |
| MAOA-L | Non-adjusted | 0.054 (0.02) | 5.2 | 0.023 | 1.056 | 1.01–1.11 | 0.096 |
| Adjusted | 0.045 (0.03) | 3.2 | 0.075 | 1.046 | 0.99–1.10 | 0.141 | |
| F1 | Non-adjusted | 0.004 (0.04) | 0.01 | 0.920 | 1.00 | 0.92–1.10 | 0.000 |
| Adjusted | 0.011 (0.05) | 0.05 | 0.825 | 1.011 | 0.92–1.11 | 0.088 | |
| MAOA-H | Non-adjusted | 0.037 (0.05) | 0.6 | 0.499 | 1.038 | 0.94–1.14 | 0.066 |
| Adjusted | 0.039 (0.06) | 0.5 | 0.477 | 1.040 | 0.93–1.16 | 0.098 | |
| MAOA-L | Non-adjusted | −0.015 (0.05) | 0.1 | 0.749 | 0.985 | 0.90–1.08 | 0.019 |
| Adjusted | −0.001 (0.05) | 0.0 | 0.990 | 0.999 | 0.91–1.10 | 0.098 | |
| F2 | Non-adjusted | 0.189 (0.05) | 15.9 | 0.000 | 1.208 | 1.10–1.33 | 0.144 |
| Adjusted | 0.145 (0.05) | 7.6 | 0.005 | 1.156 | 1.01–1.28 | 0.158 | |
| MAOA-H | Non-adjusted | 0.206 (0.05) | 17.6 | 0.000 | 1.229 | 1.12–1.35 | 0.165 |
| Adjusted | 0.170 (0.05) | 9.6 | 0.002 | 1.185 | 1.01–1.32 | 0.176 | |
| MAOA-L | Non-adjusted | 0.163 (0.05) | 10.5 | 0.001 | 1.177 | 1.07–1.30 | 0.165 |
| Adjusted | 0.128 (0.05) | 5.9 | 0.015 | 1.137 | 1.03–1.26 | 0.176 |
The multivariate logistic regression analyses were separately applied without (non-adjusted) and with (adjusted) consideration for both alcohol exposure and age. B = regression coefficient (the risk for reconvictions increases with the indicated positive B figure when the variable increases one unit, and decreases with the negative figures); s.e. = standard error; W = Wald’s test; P = P-value, OR = odds ratio, CI = 95% confidence interval, R2 = nagelkerke R square test. F1 = factor 1 and F2 = factor 2.